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   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams.update({\n",
    "    'figure.figsize': (7.5, 7.5),\n",
    "    'axes.spines.right': False,\n",
    "    'axes.spines.left': False,\n",
    "    'axes.spines.top': False,\n",
    "    'axes.spines.bottom': False})\n",
    "# Seed random number generator\n",
    "import random\n",
    "from numpy import random as nprand\n",
    "seed = hash(\"Network Science in Python\") % 2**32\n",
    "nprand.seed(seed)\n",
    "random.seed(seed)\n"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
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 },
 "nbformat": 4,
 "nbformat_minor": 1
}
